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Easterday, Matthew W.; Rees Lewis, Daniel; Gerber, Elizabeth M. – International Journal of Artificial Intelligence in Education, 2017
Intelligent tutors based on expert systems often struggle to provide formative feedback on complex, ill-defined problems where answers are unknown. Hybrid crowdsourcing systems that combine the intelligence of multiple novices in face-to-face settings might provide an alternate approach for providing intelligent formative feedback. The purpose of…
Descriptors: Intelligent Tutoring Systems, Formative Evaluation, Feedback (Response), Novices
Feng, Mingyu; Roschelle, Jeremy; Heffernan, Neil; Fairman, Janet; Murphy, Robert – Grantee Submission, 2014
Much research has been done on the development of an intelligent tutoring system (ITS), and small empirical studies have demonstrated the effectiveness of ITS at promoting student learning. However, large-scale implementation of ITS in school settings has not been researched thoroughly. In this paper, we describe an ongoing randomized controlled…
Descriptors: Intelligent Tutoring Systems, Homework, Educational Technology, Technology Uses in Education
Flores, Raymond; Ari, Fatih; Inan, Fethi A.; Arslan-Ari, Ismahan – Educational Technology & Society, 2012
Combining adaptive hypermedia methods with strategies proposed by instructional theory and motivation models, an adaptable tutorial was designed and developed. The aim of this study was to assess whether the goals of an adaptable tutorial, which individualized instruction based on student motivation and prior knowledge, were being met (i.e.…
Descriptors: Focus Groups, Hypermedia, Usability, Interviews